CodexResearcher

CodexResearcher is an agent for coding agents from DorShaer/Husk. It costs 72 tokens per session (2,928 once invoked), scanned A, original, no licence file.

A TypeScript-focused research agent that uses live web search and deep reasoning to investigate technical questions, including less obvious connections.

In plain words
What is it for?
Researching TypeScript and other technical topics, exploring multiple leads, and producing detailed findings from web sources.
Why use it?
It helps uncover and combine information that a simple, linear search might miss.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/dorshaer/husk/codexresearcher
Clone the repo
git clone --depth 1 https://github.com/DorShaer/Husk

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for CodexResearcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/dorshaer/husk/codexresearcher.svg)](https://agentmods.dev/agents/dorshaer/husk/codexresearcher)
Your own site
<a href="https://agentmods.dev/agents/dorshaer/husk/codexresearcher"><img src="https://agentmods.dev/badge/agents/dorshaer/husk/codexresearcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,928 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00072 $0.02928
Opus 5 $0.00036 $0.01464
Sonnet 5 $0.00014 $0.00586
Haiku 4.5 $0.00007 $0.00293

Measured 4d ago against content hash ae3ccbe4cd74, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

CodexResearcher scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST http://localhost:31337/notify \
libs/lifeos/agents/CodexResearcher.md · 292 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 292 lines · 72 tokens per session scan A ae3ccbe4cd74

Subscribe to this mod's changes

CodexResearcher is an agent published in the GitHub repository DorShaer/Husk (12 stars, last pushed yesterday), with no licence file. It adds 72 tokens to every session and 2,928 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.